Man pages for smgogarten/GENESIS
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness
| admixMap | admixMap |
| assocTestAggregate | Aggregate Association Testing |
| assocTestSingle | Genotype Association Testing with Mixed Models |
| computeVSIF | Computes variant-specific inflation factors |
| defunct | Defunct functions in package 'GENESIS' |
| effectAllele | Return the effect allele for association testing |
| fitNullModel | Fit a Model Under the Null Hypothesis |
| GENESIS-package | GENetic EStimation and Inference in Structured samples... |
| HapMap_ASW_MXL_KINGmat | Matrix of Pairwise Kinship Coefficient Estimates for the... |
| jointScoreTest | Perform a joint score test |
| kin2gds | Store kinship matrix in GDS |
| kingToMatrix | Convert KING text output to an R Matrix |
| makeSparseMatrix | Make a sparse matrix from a dense matrix or a table of... |
| pcair | PC-AiR: Principal Components Analysis in Related Samples |
| pcairPartition | Partition a sample into an ancestry representative 'unrelated... |
| pcrelate | PC-Relate: Model-Free Estimation of Recent Genetic... |
| pcrelateToMatrix | Creates a Genetic Relationship Matrix (GRM) of Pairwise... |
| plot.pcair | PC-AiR: Plotting PCs |
| print.pcair | PC-AiR: Principal Components Analysis in Related Samples |
| sample_annotation_1KG | Annotation for 1000 genomes Phase 3 samples |
| varCompCI | Variance Component Confidence Intervals |
